Triple

T18487896
Position Surface form Disambiguated ID Type / Status
Subject postcyberpunk E451736 entity
Predicate contrastCharacteristic P131861 FINISHED
Object less focus on street-level nihilism LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: less focus on street-level nihilism | Statement: [postcyberpunk, contrastCharacteristic, less focus on street-level nihilism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contrastCharacteristic
Context triple: [postcyberpunk, contrastCharacteristic, less focus on street-level nihilism]
  • A. contrastUse
    Indicates that one entity is used in opposition or distinction to another to highlight differences between them.
  • B. contrastGoal
    Indicates a relationship where one goal is defined in opposition to, or as a contrasting alternative to, another goal.
  • C. contrastMechanism
    Indicates a relationship where one mechanism is highlighted or explained by comparing it against a different, opposing, or alternative mechanism.
  • D. contrastEnvironment
    Indicates a relationship where one environment is compared against another to highlight their differences or opposing characteristics.
  • E. contrastCapability
    Indicates a relationship where one entity’s capabilities are compared or set in opposition to another’s, highlighting differences in what they can do or achieve.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d8bac4819099306abbf78b9565 completed April 19, 2026, 7:49 p.m.
PD Predicate disambiguation batch_69e469d671088190b619de96ea6f92ab completed April 19, 2026, 5:36 a.m.
PDg Predicate description generation batch_69e46d2aa72c8190a40854a7a52081e2 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 11:35 a.m.